Systems and methods for improving patient satisfaction

Abstract

Systems and methods designed to capture and utilize the context of a patient's visit along with a general categorization of their personality for the purpose of identifying actions to a healthcare provider for use during the specific patient visit. The actions are intended to be used by the healthcare provider to improve the patient's overall satisfaction with their care and specifically their reported satisfaction on various patient satisfaction feedback surveys. The systems and methods also can serve to improve future patient visits through better understanding, better engagement, improved trust, and better overall experience with healthcare providers.

1 . A method of providing automated suggested actions for a healthcare provider during a patient visit, the method comprising:
 having personality information on a patient, said personality information being stored in a database accessible to a computer;   having visit information relating to a patient visit, said visit information being stored in a database accessible to said computer;   said computer automatically using said personality information to develop a Patient Personality Type (PPT) for the patient;   said computer automatically using said visit information to develop a Visit Lifecycle Context Rating (VLCR) for the visit;   said computer automatically using said PPT and said VLCR jointly to locate a first group of actions from an action matrix;   said computer automatically using specific elements of said personality information and said visit information to choose selected actions from said first group of actions; and   said computer automatically providing said selected actions to a healthcare provider at the initiation of said patient visit.   
     
     
         2 . The method of  claim 1  further comprising:
 said computer obtaining feedback on the use and effectiveness of said selected actions at a time after said initiation of said patient visit. 
 
     
     
         3 . The method of  claim 2  further comprising:
 said computer utilizing said feedback to alter how said computer chooses or weights said specific elements of said personality information and said visit information to choose selected actions from said first group of actions 
 
     
     
         4 . The method of  claim 3  wherein said computer utilizing includes utilizes a machine learning engine. 
     
     
         5 . The method of  claim 1 , wherein said providing said selected actions includes providing said selected actions part of an electronic medical record (EMR).